| 词条 | Draft:Alex Krizhevsky |
| 释义 |
1. Imagenet classification with deep convolutional neural networks A Krizhevsky, I Sutskever, GE Hinton Advances in neural information processing systems, 1097-1105 31432 2012 2. Dropout: a simple way to prevent neural networks from overfitting N Srivastava, G Hinton, A Krizhevsky, I Sutskever, R Salakhutdinov The Journal of Machine Learning Research 15 (1), 1929-1958 8988 2014 3. Improving neural networks by preventing co-adaptation of feature detectors GE Hinton, N Srivastava, A Krizhevsky, I Sutskever, RR Salakhutdinov arXiv preprint arXiv:1207.0580 3220 2012 4. Learning multiple layers of features from tiny images A Krizhevsky, G Hinton Technical report, University of Toronto 1 (4), 7 2936 2009 5. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection S Levine, P Pastor, A Krizhevsky, J Ibarz, D Quillen The International Journal of Robotics Research 37 (4-5), 421-436 424 2018 6. One weird trick for parallelizing convolutional neural networks A Krizhevsky arXiv preprint arXiv:1404.5997 279 2014 7. Transforming auto-encoders GE Hinton, A Krizhevsky, SD Wang International Conference on Artificial Neural Networks, 44-51 272 2011 8. Using very deep autoencoders for content-based image retrieval. A Krizhevsky, GE Hinton ESANN 235 2011 9. Factored 3-way restricted boltzmann machines for modeling natural images A Krizhevsky, G Hinton Proceedings of the Thirteenth International Conference on Artificial … 219 2010 10. Convolutional deep belief networks on cifar-10 A Krizhevsky, G Hinton Unpublished manuscript 40 (7) 198 2010 11. Real-Time Pedestrian Detection with Deep Network Cascades. A Angelova, A Krizhevsky, V Vanhoucke, AS Ogale, D Ferguson BMVC 2, 4 118 2015 But it makes more sense to add only the link to his Google Scholar page. In fact, I simply added the following statement to the article: Many of his numerous papers on machine learning and computer vision are frequently cited by other researchers, with reference to Google Scholar. That should suffice to establish his notability. Uf11 (talk) 17:01, 10 December 2018 (UTC)}} {{AFC comment|1=This draft article needs expansion, including a bibliography & additional citations.
Once this article gets to ten citations there should be not doubt to notability. Peaceray (talk) 20:50, 19 November 2018 (UTC)}} {{AFC comment|1=I cannot agree that the subject is not notable enough. Many sources refer to his work. His advisor Geoffrey Hinton does have a Wikipedia article. He was originally resistant to the idea of his student Alex Krizhevsky.ref name=quartz Today, however, the advisor's numerous recent citations are mostly for the work of his student. If the advisor is notable, then why not the student? Here some sources:
Uf11 (talk) 20:17, 19 November 2018 (UTC)}} {{AFC comment|1=Krizhevsky does not appear notable aside from his creation of AlexNet. BLP1E applies here. WikiDan61ChatMe!ReadMe!! 16:05, 14 November 2018 (UTC)}}{{Use dmy dates|date=October 2018}}{{Infobox scientist |birth_name = Alex Krizhevsky | name = Alex Krizhevsky |birth_place = Ukraine |residence = Canada |fields = {{Plainlist|
| work_institution = University of Toronto |alma_mater = {{Plainlist|
|doctoral_advisor = Geoffrey Hinton |known_for = {{Plainlist|
}}Alex Krizhevsky (born in the Ukraine, raised in Canada) is a computer scientist most noted for his work on artificial neural networks and deep learning, in particular, a deep convolutional neural network called AlexNet.[1] Using his AlexNet, Krizhevsky achieved an image-recognition milestone in the ImageNet challenge 2012[2] which according to some sources revolutionized the field of computer vision and led to the current AI boom.[1] Krizhevsky studied at the University of Toronto, where he was advised by professor Geoffrey Hinton.[1] Shortly after having won the ImageNet challenge 2012, he and his colleagues sold their startup DNN Research Inc. to Google.[1] Krizhevsky left Google in September 2017 when he lost interest in the work.[1] At the company Dessa, Krizhevsky will advise and help research new deep-learning techniques.[1] Many of his numerous papers on machine learning and computer vision are frequently cited by other researchers.[3] References1. ^1 2 3 4 5 {{cite web|website=Quartz|author=Dave Gershgorn|title=The inside story of how AI got good enough to dominate Silicon Valley|url=https://qz.com/1307091/the-inside-story-of-how-ai-got-good-enough-to-dominate-silicon-valley/|date=18 June 2018|accessdate=5 October 2018}} {{Authority control}}{{DEFAULTSORT:Krizhevsky, Alex}}Category:1947 birthsCategory:Artificial intelligence researchersCategory:Canadian computer scientistsCategory:Cognitive scientistsCategory:Google employeesCategory:Living peopleCategory:Machine learning researchersCategory:Ukrainian computer scientists2. ^{{Cite journal|last=Krizhevsky|first=Alex|last2=Sutskever|first2=Ilya|last3=Hinton|first3=Geoffrey E.|date=2012-12-03|title=ImageNet classification with deep convolutional neural networks|url=http://dl.acm.org/citation.cfm?id=2999134.2999257|journal=NIPS 2012: Neural Information Processing Systems, Lake Tahoe, Nevada|pages=1097–1105|series=Nips'12}} 3. ^{{cite web | title=Alex Krizhevsky | website=Google Scholar Citations | url=https://scholar.google.com/citations?user=xegzhJcAAAAJ}} |
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